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Mahmoud Shahrokhi

Mahmoud Shahrokhi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 34868547400
Faculty: Faculty of Engineering
Address: Department of Industrial Engineering, Room 305
Phone: 09163656344

Research

Title
A Dynamic Programming based approach to optimise the Operator Trajectory in theThreat Workplace
Type
Presentation
Keywords
Threat Workplace, Dynamic Programming, Operator Trajectory
Year
2006
Researchers Mahmoud Shahrokhi ، Alain Bernard

Abstract

This paper presents one part of the IVGI (virtual reality for industrial engineering) project, which is concerned to determine optimal operator movement trajectory (path) in the normal and threat environments. Using dynamic programming method, an approach is introduced to fined the optimal trajectory for walking an operator in the workplace by minimising the accumulated movement risk and length. The danger zones are considers as the fuzzy sets, and the risk through the trajectory is evaluated by considering the membership degree of the operator body parts in the danger zone(s), through the all movement sequences. This method can be used to determine the optimal paths through the design processes of the industrial systems.